Abstract

In order to understand some of the functions of neurons in the basal forebrain in magnocellular complex (BFMC), it is essential to identify the sources and transmitter specificities of afferents to this system. Using axonal tracing and transmitter immunocytochemistry (ICC), Pilot 4 is designed to characterize, at the light and ultrastructural levels, neural systems that innervate BFMC cholinergic neurons in rodents. The anterograde tracer Phaseolus vulagaris leukoagglutinin (PHA-L) will be iontophoresed into regions known to be labeled following injections of retrograde tracer into subdivisions of the BFMC, and dual-color ICC will be employed to identify specific interactions between PHA-L-labeled boutons and cholinergic neurons. Monoaminergic, cholinergic, gamma- aminobutyric acid (GABA)ergic, and peptidergic transmitter-specific interactions with cholinergic neurons of the BFMC will be identified at the electron-microscopic level using double-label ICC> These studies will provide new insights concerning afferents that modulate cholinergic BFMC neurons in rodents and are essential for similar investigations of these afferents in primates.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
2P50AG005146-07
Application #
3813998
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
7
Fiscal Year
1989
Total Cost
Indirect Cost

  Institution

Name
Johns Hopkins University
Department
Type
DUNS #
045911138
City
Baltimore
State
MD
Country
United States
Zip Code
21218

  Publications

Ting, Simon Kang Seng; Foo, Heidi; Chia, Pei Shi et al. (2018) Dyslexic Characteristics of Chinese-Speaking Semantic Variant of Primary Progressive Aphasia. J Neuropsychiatry Clin Neurosci 30:31-37
Eavani, Harini; Habes, Mohamad; Satterthwaite, Theodore D et al. (2018) Heterogeneity of structural and functional imaging patterns of advanced brain aging revealed via machine learning methods. Neurobiol Aging 71:41-50
Wang, Tingyan; Qiu, Robin G; Yu, Ming (2018) Predictive Modeling of the Progression of Alzheimer's Disease with Recurrent Neural Networks. Sci Rep 8:9161
Barnes, Josephine; Bartlett, Jonathan W; Wolk, David A et al. (2018) Disease Course Varies According to Age and Symptom Length in Alzheimer's Disease. J Alzheimers Dis 64:631-642
Agogo, George O; Ramsey, Christine M; Gnjidic, Danijela et al. (2018) Longitudinal associations between different dementia diagnoses and medication use jointly accounting for dropout. Int Psychogeriatr 30:1477-1487
Seddighi, Sahba; Varma, Vijay R; An, Yang et al. (2018) SPARCL1 Accelerates Symptom Onset in Alzheimer's Disease and Influences Brain Structure and Function During Aging. J Alzheimers Dis 61:401-414
Fredericks, Carolyn A; Sturm, Virginia E; Brown, Jesse A et al. (2018) Early affective changes and increased connectivity in preclinical Alzheimer's disease. Alzheimers Dement (Amst) 10:471-479
Holingue, Calliope; Wennberg, Alexandra; Berger, Slava et al. (2018) Disturbed sleep and diabetes: A potential nexus of dementia risk. Metabolism 84:85-93
Alosco, Michael L; Sugarman, Michael A; Besser, Lilah M et al. (2018) A Clinicopathological Investigation of White Matter Hyperintensities and Alzheimer's Disease Neuropathology. J Alzheimers Dis 63:1347-1360
van Bergen, Jiri M G; Li, Xu; Quevenco, Frances C et al. (2018) Low cortical iron and high entorhinal cortex volume promote cognitive functioning in the oldest-old. Neurobiol Aging 64:68-75

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